Title :
Leaf Vein and Contour Extraction from Point Cloud Data
Author :
Sun, Zhihui ; Lu, Shenglian ; Guo, Xinyu ; Tian, Yuan
Author_Institution :
Beijing Res. Center for Inf. Technol. in Agric., Beijing, China
Abstract :
Venation and contour of plant leaves are significant for many agronomic applications, such as the identification of plant species, the exploration of genetic relationship among plants and the 3D shape reconstruction of leaves. This paper presents a method for extracting leaf vein and contour from point cloud data. Firstly, leaf veins were extracted by using the curvature information of the point cloud, then the mesh model of plant leaf was constructed and the leaf contour was also extracted using mesh algorithm. The final leaf vein and contour can be obtained after a process combined fitting and repairing to the above extracted leaf veins and edges. The experimental results demonstrate that this method could extract the leaf veins and contour from laser scanned point cloud data.
Keywords :
feature extraction; image reconstruction; shape recognition; 3D shape reconstruction; agronomic applications; contour extraction; curvature information; genetic relationship; leaf vein; leaf vein extraction; mesh algorithm; plant leaves; plant species; point cloud data; Data mining; Data models; Feature extraction; Fitting; Laser modes; Mathematical model; Veins; Contour lines; Leaf vein; Least square linear fitting; Point cloud;
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-2156-4
DOI :
10.1109/ICVRV.2011.40